What makes Front easy to automate
Front sits on top of email, SMS, chat and other channels and gives each message a shared conversation with tags, assignees, comments and status. The Core API exposes all of that: conversations, messages, comments, tags, inboxes, teammates, contacts and links to external records. For automation, the useful primitives are tags (for routing), comments (for AI notes only teammates see) and links (to tie a conversation to an order or ticket elsewhere).
Front’s own rules engine is capable. It can tag, assign, move and archive on conditions, and it can call a webhook as an action. So the clean pattern is: a Front rule sends matching conversations to your workflow, the workflow decides, and it writes back a tag that another Front rule acts on.
The friction is tooling in n8n. There is no built-in n8n node, so n8n builds use raw HTTP calls. Zapier and Make both have Front apps that cover simple triggers and actions.
The AI layer, and Front’s own AI
Front offers Copilot, which drafts replies and summarizes conversations from past conversations and help content, and Autopilot features for more automated handling, sold as add-ons or included on higher plans. If your goal is faster replies inside Front, test those first.
Custom AI is better for work that crosses system boundaries:
- Extraction. Purchase orders, quote requests and shipping documents arrive as email attachments. A model reads them and code writes clean records into your ERP or database.
- Routing on business data. “Route to the senior team if the customer is on a top-tier contract” needs a CRM lookup Front cannot do on its own.
- Turning email into work. Requests become tasks in your project tool, linked back to the conversation.
We cover the extraction pattern in our document data extraction guide and the routing pattern in shared inbox triage.
Limits to plan around
- Plan-based rate limits. Front sets a per-minute company limit by plan plus a short burst limit per resource type. Exports are slower.
- Token scope. API tokens are scoped to specific resources and inboxes. A token that can read one inbox may get 403 errors on another, so create a dedicated token per integration with exactly what it needs.
- Message bodies. Email bodies include quoted history and signatures. Strip them before sending text to a model or you will pay for, and be confused by, every previous reply.
- Attachments are fetched separately from messages. Budget for download, file type checks and size limits.
- Webhook verification. Verify Front’s signature on incoming webhooks and make handlers idempotent, since retries can deliver the same event twice.
How Lumeor typically connects it
We set up a Front rule per inbox that calls an n8n webhook on inbound messages. n8n fetches the message and attachments through the Core API, strips quoted text, and runs a model with a strict output schema. Results go back as a tag and a comment, and extracted data goes to the system of record. A second Front rule routes on the tag. For logistics and distribution clients this usually starts with quote or order intake, which tends to save the most rep time per email.
A single inbox workflow typically sits in our workflow automation range. Book a call to scope yours.